Agent Evolution Series (2): The Self-Evolution Path — How Agents Get Better with Use
TL;DR: The core of the self-evolution path is making agents stop treating every interaction like a first meeting. It will progress from in-conversation learning to long-term memory, skills, and evaluation/rollback mechanisms. What truly matters is not remembering more automatically, but consolidating effective experience into verifiable, deletable, rollback-capable capability assets. This is the second article in the Agent Evolution Series. The first article discussed the execution path: how agents move from answering to doing. ...